Abstract
AbstractGun violence in the USA has caused immense socio-economic implications which has plagued urban areas. In the first half of 2020, shooting incidents have been on the rise in New York City (NYC) and a sharp spike of cases was observed in June 2020. In the current study, a space–time analysis on such incidents was done to investigate the clusters and trends with a view to identify NTAs with high shooting densities. Regression analysis on available data for NYC found that such incidents have a close relationship with black population and with locations with vacant housing units. Thus, these factors could play a key role in the predictive analysis of future incidents. A network analysis was conducted which found that shooting incidents generally increase with distance from police stations and that not all of NYC is serviced by police stations within a 15-min drive time. Such findings could potentially help the authorities of NYC to improve their policing, resource allocation and decision-making to address gun violence in the city.
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